A crazy/deep overview of some of the amazing developments in machine learning in the last couple of years, especially as a medium for artistic expression and exploration.

This last year I've been getting back into machine learning and AI, rediscovering the things that drew me to it in the first place. I'm still in the "learning" and "small studies" phase that naturally precedes crafting any new artwork, and I wanted to share some of that process here. This is a fairly linear record of my path, but my hope is that this post is modular enough that anyone interested in a specific part can skip ahead and find something that gets them excited, too. I'll cover some experiments with these general topics:

  1. Convolutional Neural Networks
  2. Recurrent Neural Networks
  3. Dimensionality Reduction and Visualization
  4. Autoencoders

Source: A Return to Machine Learning – Medium